[IEEE T-BIOM] FaceXBench: Evaluating Multimodal LLMs on Face Understanding
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Updated
Jan 15, 2026 - Python
[IEEE T-BIOM] FaceXBench: Evaluating Multimodal LLMs on Face Understanding
This repository contains the collection of Cognitive Science computation modeling projects made for the DTU Human-Centered AI course 02458: Cognitive Modeling
Code used in paper 'Comprehensive social trait judgments from faces in autism spectrum disorder'
ECoG faces-vs-houses within-subject decoding: preprocessing, feature extraction, LDA/SVM/RF + EEGNet, FFA verification, evaluation against SOTA
PER:CEPTION — facial geometry and perception measurement. What it measures, the method, the six first-impression scales, and links to the site.
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